Publication at Faculty of Mathematics and Physics |
2022
Abstract
Automatic methods for identifying and tracking pressure systems have been traditionally focused on cyclones (and particularly on tropical cyclones), but the question of anticyclone centre detection remained unsolved since they are usually not a source of turbulent weather, precipitation, etc. An algorithm for automatic detection of both, cyclones and anticyclones based on the mean sea-level pressure field, is presented.
The main advantages of our solution are easy implementation based on two-dimensional raster data, sufficient performance of the algorithm, and especially the possibility of high-pressure systems detection. Moreover, the presented solution does not need direct terrain filtering.